• DocumentCode
    2167573
  • Title

    Carrier and phase recovery for coded systems using a preamble sequence with reliability information over AWGN channels

  • Author

    Cassaro, T. ; Georghiades, C.N.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    326
  • Abstract
    Channel coding is an integral part of most data communication systems. However, most existing carrier synchronization algorithms do not take advantage of the redundancy introduced in the data stream by the code and operate at an uncoded SNR which can be significantly lower than the coded SNR. Thus, whereas it used to be the case that if detection could be achieved reliably, so could synchronization, this may not be true any more for heavily coded systems. We introduce an approximate maximum likelihood estimator that incorporates the code structure in obtaining phase estimates. Simulation results show the performance of the introduced algorithm is significantly better than those which do not make use of the code structure
  • Keywords
    AWGN channels; approximation theory; channel coding; data communication; decoding; digital simulation; maximum likelihood estimation; phase estimation; reliability; sequences; synchronisation; AWGN channels; BPSK; algorithm performance; approximate maximum likelihood estimator; carrier recovery; carrier synchronization algorithms; channel coding; code structure; coded SNR; coded systems; data communication systems; data stream redundancy; decoding; detection; modified Cramer-Rao bound; phase estimates; phase recovery; preamble sequence; reliability information; simulation results; uncoded SNR; AWGN channels; Additive white noise; Channel coding; Discrete Fourier transforms; Forward error correction; Frequency estimation; Maximum likelihood detection; Maximum likelihood estimation; Phase estimation; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2000. ICC 2000. 2000 IEEE International Conference on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-7803-6283-7
  • Type

    conf

  • DOI
    10.1109/ICC.2000.853174
  • Filename
    853174